Instance Weighted Incremental Evolution Strategies for Reinforcement
Learning in Dynamic Environments

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Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments

IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020

9 October 2020

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Papers citing "Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments"

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Title
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel OptimizationEuropean Conference on Artificial Intelligence (ECAI), 2023 Junyi Wang Yuanyang Zhu Zhi Wang Yan Zheng Jianye Hao Chun-Han Chen OffRL 128 1 0 01 Aug 2023
Evolutionary Reinforcement Learning: A SurveyIntelligent Computing (IC), 2023 Hui Bai Ran Cheng Yaochu Jin OffRL 422 77 0 07 Mar 2023
Cooperative guidance of multiple missiles: a hybrid co-evolutionary approachIEEE Transactions on Control Systems Technology (TCST), 2022 Xuejing Lan Junda Chen Zhijia Zhao T. Zou 150 14 0 15 Aug 2022
Modeling Human Behavior Part I -- Learning and Belief Approaches Andrew Fuchs A. Passarella M. Conti 201 8 0 13 May 2022
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 254 84 0 28 Sep 2021
Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization M. Akbulut Utku Bozdoğan Ahmet E. Tekden Emre Ugur 203 7 0 09 Nov 2020